About

About Me

About Me

I am a Research Associate in Network Security at ZHAW, Switzerland. I obtained my PhD in Cybersecurity from the University of Zürich (UZH) in 2025.

My research primarily addresses the security of network slices in future 6G and nextG Telco-Cloud networks. I specialize in applying Moving Target Defense (MTD) techniques optimized with Deep Reinforcement Learning (Deep-RL) to create more resilient and adaptive security architectures.

Currently, I am working on the EU H2020 ‘NATWORK’ project.

Experience

ZHAW - Zurich University of Applied Sciences

Research Associate in Network Security Sep 2025 - Present

  • Focusing on the security of network slices in future 6G and nextG Telco-Cloud networks.
  • Applying Moving Target Defense (MTD) techniques enhanceWorking-on.
  • Contributor to the EU H2020 ‘NATWORK’ project.

Research Assistant in Network Security Sep 2020 - Aug 2025

LIG - Laboratory for Informatics at Grenoble

Research Intern (Master’s Thesis) Feb 2020 - Jul 2020

  • Designed and implemented RealPhish, a Real-Time Detector of Phishing Websites.
  • Supervisor: Dr. Maciej Korczynski. (Drakkar group).

Research Intern May 2019 - Jul 2019

  • Research on “Feasibility of Large-scale vulnerability notifications after the GDPR”.
  • Published in 2020 IEEE EuroS&PW.

LIRMM Laboratory

Research Intern in Embedded Systems Jun 2017 - Jul 2017

  • Implemented a secure VoIP video intercom using Raspberry Pi.
  • Technologies: IoT, Raspbian, Linphone, FreePBX, Asterisk, SIP, TLS.

Education

PhD in Cybersecurity from University of Zürich (UZH), 2021 - 2025

  • Institute of Informatics (IfI), Communication Systems Group (CSG).
  • Grade: Magna Cum Laude.
  • Supervisors: Dr. Gürkan Gür and Prof. Burkhard Stiller.

Master in Cybersecurity & Computer Science from UGA & INP Ensimag, 2018 - 2020

Bachelor in Computer Science from Montpellier University, 2015 - 2018

Technical Knowledge

  • Offensive Security: Network/Software security, Penetration Testing (Pursuing OSCP).
  • Cloud & Network: Security-by-design, TEEs (SEV-SNP), Monitoring, Anomaly Detection, SIEM, OpenStack, Kubernetes.
  • Architecture: PKIs, Kerberos, Blockchain, Cryptography.
  • AI & ML: Federated Learning, Supervised Learning, Reinforcement Learning for security automation.
  • Languages: Python, Java, JavaScript, SQL.

Soft Skills

  • Leadership: Led technical task packages in EU Horizon projects; collaborated with multinational partners.
  • Communication: Authored winning project proposals and scientific articles (ACM Computing Surveys, IEEE Network, IEEE ICC).
  • Languages: Italian (Native), Arabic (Native), English (C1), French (C1), German (A2).